217 citations · 1.4k across the 33 of their papers we have counts for
3 papers · 1 filter
Time Resolution Dependence of Information Measures for Spiking Neurons: Atoms, Scaling, and Universality
Sarah E. Marzen, Michael R. DeWeese, James P. Crutchfield
The mutual information between stimulus and spike-train response is commonly used to monitor neural coding efficiency, but neuronal computation broadly conceived requires more refi…
Sparse Codes for Speech Predict Spectrotemporal Receptive Fields in the Inferior Colliculus
Nicole L. Carlson, Vivienne L. Ming, Michael R. DeWeese
We have developed a sparse mathematical representation of speech that minimizes the number of active model neurons needed to represent typical speech sounds. The model learns sever…
A sparse coding model with synaptically local plasticity and spiking neurons can account for the diverse shapes of V1 simple cell receptive fields
Joel Zylberberg, Jason Timothy Murphy, Michael Robert DeWeese
Sparse coding algorithms trained on natural images can accurately predict the features that excite visual cortical neurons, but it is not known whether such codes can be learned us…